Indoor Semantic Location Models for Location-Based Services
نویسندگان
چکیده
With advances in Location-Based Services(LBSs), the motivation for indoor LBSs is becoming stronger since the complexity of indoor spaces. Semantic location model is becoming a pervasive data model to face with this challenge. The hybrid semantic methods and theories are used into this model to define and manage semantic information and location information. In this paper, we analyze some semantic location models based on math and ontology methods including brief description and comparison. We also extract the characteristics of semantic information in the multilayered location model and depict their significances for indoor space LBSs. Finally, we discuss the possible directions of semantic location models for indoor space LBSs.
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